├── NFLPlaybyPlay.csv
├── README.md
├── airlines.csv
├── banking_attrition.csv
├── clean-chat-audio-long.m4a
├── gym_attendance.csv
├── images
├── Screenshot 2023-04-28 at 3.10.50 PM.png
├── Screenshot 2023-04-28 at 3.13.23 PM.png
├── xray1.jpg
├── xray2.jpeg
├── xray3.jpg
├── xray4.jpg
└── xray5.jpeg
├── loan_200k.csv
├── payments.xml
├── payments_adv.xml
├── spanish-example.mp3
├── telco_churn.csv
├── test_audio.mp3
├── test_audio.wav
├── wine_reviews.csv
└── wine_reviews_master.csv
/README.md:
--------------------------------------------------------------------------------
1 |
Interesting Publically Available Datasets
2 |
Credit Card Fraud Detection
3 |
SMS Spam Dataset
4 |
Lending Club Loan Data
5 |
Daily News for Stock Market Prediction
6 |
San Francisco Bike Share
7 |
Speed Dating
8 |
Human Activity Recognition using Smartphones
9 |
380k Song Lyrics
10 |
Uber Pickups in NYC
11 |
Kickstarter Project Stats
12 |
Detailed NFL Play-by-Play
13 |
Heartbeat Sounds - Classifying Anomalies
14 |
140+ Conversations
15 |
Stanford Question Answering Dataset
16 |
Recipes by Rating and Nutrition
17 |
Enron Email Dataset
18 |
Hillary Clinton Emails
19 |
2016 Coder Survey
20 |
Airline Delays
21 |
Aerial Bombings in WWII
22 |
2014 US Income Tax Data
23 |
Home Price Index
24 |
TechCrunch Posts
25 |
World News on Reddit - 2008 - 2016
26 |
Stack Overflow Q&A
27 |
IMDB Movie Dataset
28 |
Movie Review Dataset
29 |
Product Review & Opinion Data
30 |
Restaurant Reviews
31 |
Amazon Product Reviews
32 |
Tourism Dataset (Hotels, Hospitality, Themepark, etc.
33 |
Kaggle - Expedia Hotel Recommendations
34 |
Hotel Review Datasets
35 |
Airline Quality Reviews
36 |
Project Data Sphere - Cancer Analysis
37 |
38 |
39 | Links to more Dataset Repos:
40 |
Stanford SNAP Datasets
41 |
R Datasets
42 |
UCI Machine Learning Repo
43 |
Datasets for AI
44 |
Text Analytics Datasets
45 |
Data and code behind the stories and interactives at FiveThirtyEight
46 |
DeepLearning4J Datasets
47 |
20 Weird & Wonderful Datasets for Machine Learning
48 |
Security (Cybersecurity) Datasets
49 |
Quantopian Stock Market Modeling
50 |
51 |
52 | APIs:
53 |
List of Public APIs
54 |
News API
55 |
Open APIs From Space
56 |
San Francisco Bart Real-time API Feed
57 |
Metro Bus and Rail Real-time API Feed
58 |
Indian Railway Real-time API
59 |
YELP API
60 |
Medium's API
61 |
62 |
63 | Data Generators:
64 |
Mockaroo
65 |
GenerateData.com
66 |
Dataset Generator - Random User Data
67 |
Dataset Generator
68 |
69 |
70 |
71 |
72 |
73 |
--------------------------------------------------------------------------------
/airlines.csv:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/airlines.csv
--------------------------------------------------------------------------------
/clean-chat-audio-long.m4a:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/clean-chat-audio-long.m4a
--------------------------------------------------------------------------------
/images/Screenshot 2023-04-28 at 3.10.50 PM.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/Screenshot 2023-04-28 at 3.10.50 PM.png
--------------------------------------------------------------------------------
/images/Screenshot 2023-04-28 at 3.13.23 PM.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/Screenshot 2023-04-28 at 3.13.23 PM.png
--------------------------------------------------------------------------------
/images/xray1.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/xray1.jpg
--------------------------------------------------------------------------------
/images/xray2.jpeg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/xray2.jpeg
--------------------------------------------------------------------------------
/images/xray3.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/xray3.jpg
--------------------------------------------------------------------------------
/images/xray4.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/xray4.jpg
--------------------------------------------------------------------------------
/images/xray5.jpeg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/xray5.jpeg
--------------------------------------------------------------------------------
/payments.xml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | 501021334
5 | 60
6 | Melissa McCarthy
7 | 24k6xx
8 | 30365112712923
9 | 2014-09-30
10 | 1971-08-05
11 | 412144723681
12 |
13 |
14 | 458629348
15 | 64
16 | Maggie Grace
17 | 602jiy
18 | 38127959539229
19 | 2015-04-30
20 | 1987-03-20
21 | 786316421483
22 |
23 |
24 | 543629182
25 | 21
26 | Eden Sher
27 | 8r4gp7
28 | 36359181504166
29 | 2013-12-19
30 | 1998-05-05
31 | 747654761281
32 |
33 |
34 | 504546619
35 | 1
36 | Colin O'Donoghue
37 | 6y98rb
38 | 374168447352140
39 | 2016-01-06
40 | 1964-06-22
41 | 149025912280
42 |
43 |
44 | 201051665
45 | 78
46 | Billie Piper
47 | 3b62ci
48 | 4539295439193796
49 | 2013-07-31
50 | 1969-10-17
51 | 560218050189
52 |
53 |
54 | 504329407
55 | 28
56 | Debra Winger
57 | 3s92dm
58 | 201461319075546
59 | 2013-11-17
60 | 1975-11-19
61 | 758011589382
62 |
63 |
64 | 585272729
65 | 39
66 | Eva Green
67 | s45e9s
68 | 5566137276572471
69 | 2014-11-27
70 | 1986-08-25
71 | 410025881288
72 |
73 |
74 | 234269620
75 | 35
76 | Josh Hartnett
77 | 49o0cx
78 | 370465340177952
79 | 2014-04-08
80 | 1996-09-17
81 | 227183527983
82 |
83 |
84 | 004906411
85 | 0
86 | Alexandra Daddario
87 | 9jl31e
88 | 4716080759788101
89 | 2016-06-19
90 | 1969-11-26
91 | 469606210483
92 |
93 |
94 | 215698323
95 | 25
96 | Helena Bonham Carter
97 | 2blh98
98 | 346736156246557
99 | 2013-08-27
100 | 1966-06-12
101 | 468859590783
102 |
103 |
104 | 530430500
105 | 3
106 | Jamie Foxx
107 | 205jdy
108 | 376993288485693
109 | 2015-10-25
110 | 1968-07-26
111 | 234222788983
112 |
113 |
114 | 648245853
115 | 15
116 | Ian McKellen
117 | 53jls6
118 | 36331855155864
119 | 2015-08-07
120 | 1957-10-04
121 | 408824268180
122 |
123 |
124 | 447040951
125 | 98
126 | Iwan Rheon
127 | t5r45m
128 | 36377749862264
129 | 2013-04-27
130 | 1954-07-27
131 | 837088985082
132 |
133 |
134 | 680607470
135 | 75
136 | Alexis Knapp
137 | e8t7e4
138 | 869991729406488
139 | 2016-05-05
140 | 1988-12-15
141 | 674468846482
142 |
143 |
144 | 002384765
145 | 17
146 | Joaquin Phoenix
147 | 231xod
148 | 4716768579330183
149 | 2016-06-19
150 | 1984-08-03
151 | 515974503586
152 |
153 |
154 | 524138506
155 | 36
156 | Kellan Lutz
157 | h664sn
158 | 30231358818362
159 | 2014-08-17
160 | 1970-11-29
161 | 703976835584
162 |
163 |
164 | 622511516
165 | 81
166 | Domhnall Gleeson
167 | 5n50pc
168 | 3539515826643695
169 | 2015-04-02
170 | 1993-01-18
171 | 761789159781
172 |
173 |
174 | 504195442
175 | 55
176 | Johnny Depp
177 | v99l1t
178 | 869904287503653
179 | 2014-06-03
180 | 1977-11-03
181 | 780814403886
182 |
183 |
184 | 530876215
185 | 84
186 | Sarah Hyland
187 | 039yyf
188 | 6011858442124009
189 | 2014-01-04
190 | 1954-01-21
191 | 971278158581
192 |
193 |
194 | 518661871
195 | 93
196 | Margot Robbie
197 | 377ruo
198 | 4024007119997657
199 | 2014-12-26
200 | 1999-01-15
201 | 837769293384
202 |
203 |
204 | 660098734
205 | 70
206 | Elizabeth Henstridge
207 | 5h0op9
208 | 869918317937475
209 | 2015-12-21
210 | 1954-07-09
211 | 631477768983
212 |
213 |
214 | 398880783
215 | 64
216 | Rami Malek
217 | 2k93tc
218 | 5169044793370549
219 | 2016-05-14
220 | 1957-12-26
221 | 367744920389
222 |
223 |
224 | 307057444
225 | 25
226 | Jamie Dornan
227 | 177zkl
228 | 201404333910207
229 | 2014-07-11
230 | 1992-02-04
231 | 786567662084
232 |
233 |
234 | 008887129
235 | 35
236 | Tilda Swinton
237 | p34oc5
238 | 376920946575664
239 | 2014-05-01
240 | 1962-10-20
241 | 986885695782
242 |
243 |
244 | 009387305
245 | 4
246 | Alexander Ludwig
247 | j276xb
248 | 201478302572008
249 | 2013-04-20
250 | 1966-11-30
251 | 265161626084
252 |
253 |
254 | 661077098
255 | 49
256 | Angela Kerecz
257 | 848fuc
258 | 5485704260295464
259 | 2013-09-02
260 | 1958-08-22
261 | 151335933982
262 |
263 |
264 | 423685067
265 | 29
266 | Miranda Cosgrove
267 | 682old
268 | 3548678480728092
269 | 2013-08-08
270 | 1961-01-14
271 | 204534831381
272 |
273 |
274 | 517723048
275 | 6
276 | James Marsden
277 | 027gsc
278 | 4183236649167880
279 | 2016-10-12
280 | 1992-08-13
281 | 235935585284
282 |
283 |
284 | 537746804
285 | 92
286 | Marion Cotillard
287 | 080hcy
288 | 214965807970534
289 | 2016-02-21
290 | 1988-02-05
291 | 475514223085
292 |
293 |
294 | 508155559
295 | 1
296 | Julie Bowen
297 | 5o55ue
298 | 6011979290744647
299 | 2015-10-15
300 | 1985-12-20
301 | 624859754883
302 |
303 |
304 | 038685463
305 | 38
306 | Cam Gigandet
307 | 29m6lm
308 | 4716257331904592
309 | 2016-09-05
310 | 1960-05-03
311 | 386107512384
312 |
313 |
314 | 750076528
315 | 20
316 | Rooney Mara
317 | 433tbk
318 | 3547763442055957
319 | 2015-12-24
320 | 1962-11-19
321 | 457400620980
322 |
323 |
324 | 662148623
325 | 66
326 | Kit Harington
327 | p31m1a
328 | 4111759266591477
329 | 2016-04-04
330 | 1959-04-21
331 | 742692404988
332 |
333 |
334 | 397169771
335 | 21
336 | Shia LaBeouf
337 | 78w4gq
338 | 5162091148919840
339 | 2013-09-04
340 | 1955-03-11
341 | 847021255984
342 |
343 |
344 | 344649165
345 | 2
346 | Richard Armitage
347 | f38bv4
348 | 377829978684097
349 | 2015-02-20
350 | 1973-02-15
351 | 631528436385
352 |
353 |
354 | 244948060
355 | 52
356 | Stana Katic
357 | 915flh
358 | 4024007183097632
359 | 2017-02-20
360 | 1983-04-07
361 | 968628789888
362 |
363 |
364 | 307464046
365 | 52
366 | Yvonne Strahovski
367 | 0p5m7q
368 | 30355974712798
369 | 2013-05-24
370 | 1974-09-29
371 | 850492136389
372 |
373 |
374 | 574038049
375 | 79
376 | Frances Fisher
377 | j325qd
378 | 201419167511475
379 | 2016-07-03
380 | 1962-07-02
381 | 456959080189
382 |
383 |
384 | 399708868
385 | 72
386 | Carrie Fisher
387 | 7p86ix
388 | 3582971346256227
389 | 2015-07-21
390 | 1952-09-22
391 | 585336693780
392 |
393 |
394 | 523437046
395 | 61
396 | Chloe Bennet
397 | e990kq
398 | 201445898446152
399 | 2014-03-29
400 | 1981-11-25
401 | 937134249287
402 |
403 |
404 | 041168449
405 | 42
406 | Jamie Campbell Bower
407 | 7f3e2d
408 | 38115893149320
409 | 2014-03-01
410 | 1968-08-16
411 | 513280030385
412 |
413 |
414 | 751038048
415 | 61
416 | Uma Thurman
417 | 909rtx
418 | 344596880172954
419 | 2016-06-15
420 | 1953-09-12
421 | 917776600688
422 |
423 |
424 | 449826077
425 | 62
426 | Elizabeth Banks
427 | 4r86qw
428 | 4716919222860239
429 | 2016-04-15
430 | 1954-11-03
431 | 888401095588
432 |
433 |
434 | 523722016
435 | 24
436 | Diane Lane
437 | r58w6b
438 | 201431996993881
439 | 2016-08-26
440 | 1996-04-23
441 | 295264940089
442 |
443 |
444 | 250266647
445 | 53
446 | Kiefer Sutherland
447 | 14ov7d
448 | 6011718231287047
449 | 2013-08-21
450 | 1962-08-12
451 | 374781715989
452 |
453 |
454 | 657108804
455 | 72
456 | Jesse Eisenberg
457 | 9bo3w5
458 | 341182991153259
459 | 2016-10-06
460 | 1984-01-13
461 | 322629503481
462 |
463 |
464 | 429801389
465 | 79
466 | Bailee Madison
467 | 3w3o0r
468 | 36513622730034
469 | 2015-11-16
470 | 1994-12-09
471 | 269328324283
472 |
473 |
474 | 223390721
475 | 14
476 | Dwayne Johnson
477 | n38ck5
478 | 4929580115832967
479 | 2014-11-20
480 | 1987-06-23
481 | 819590945288
482 |
483 |
484 | 418164356
485 | 95
486 | Brie Larson
487 | 0t0h5t
488 | 5311487296857503
489 | 2016-04-26
490 | 1952-09-19
491 | 310664266880
492 |
493 |
494 | 442405136
495 | 82
496 | AnnaSophia Robb
497 | 7rz25q
498 | 4532862870189778
499 | 2014-07-05
500 | 1994-02-08
501 | 619113212580
502 |
503 |
504 |
--------------------------------------------------------------------------------
/payments_adv.xml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
--------------------------------------------------------------------------------
/spanish-example.mp3:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/spanish-example.mp3
--------------------------------------------------------------------------------
/test_audio.mp3:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/test_audio.mp3
--------------------------------------------------------------------------------
/test_audio.wav:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/test_audio.wav
--------------------------------------------------------------------------------